Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research

BACKGROUND: Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, capturing the highly non-linear information from low-level input features is quite c...

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Detalles Bibliográficos
Autores principales: Li, Xiangrui, Zhu, Dongxiao, Levy, Phillip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290511/
https://www.ncbi.nlm.nih.gov/pubmed/30537954
http://dx.doi.org/10.1186/s12911-018-0676-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290511/
https://www.ncbi.nlm.nih.gov/pubmed/30537954
http://dx.doi.org/10.1186/s12911-018-0676-9

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